Remote Data Scientist - NLP

Description:

• XA Group is a leader in revolutionizing the insurance technology and fintech industries through a digital ecosystem powered by artificial intelligence.
• The company aims to deliver innovative solutions that enhance efficiency, improve customer experience, and drive growth for insurance providers and financial institutions.
• The Data Scientist - NLP role involves expertise in NLP, Generative AI, and Language Models (LLMs), particularly in Retrieval-Augmented Generation (RAG).
• The ideal candidate should be proficient in Python and experienced with FastAPI and Streamlit for building user-friendly applications and rapid prototyping.
• Responsibilities include collaborating on AI model development, conducting evaluations to improve performance, and delivering Proofs of Concept (POCs).
• The role requires working closely with cross-functional teams to integrate and deploy AI solutions while staying updated on emerging frameworks.
• Strong communication skills and the ability to manage project delivery are essential.
• Experience with agentic frameworks and basic machine learning concepts is a plus.

Requirements:

• Proficiency in Python is required, along with experience in FastAPI and Streamlit for rapid prototyping.
• A strong foundation in NLP, Generative AI, Language Models (LLMs), and Retrieval-Augmented Generation (RAG) is necessary.
• Candidates must be capable of building and evaluating AI and ML models and assessing model performance using established metrics.
• Familiarity with agentic frameworks (e.g., LangGraph or alternatives) is preferred but not mandatory.
• A sound knowledge of foundational machine learning (ML) and deep learning (DL) concepts is required.
• Demonstrated ability to collaborate with DevOps and other stakeholders for smooth integration, testing, and deployment of AI applications is essential.
• Candidates should have 2-5 years of experience in NLP and Generative AI.

Benefits:

• The position offers a permanent, full-time role with the flexibility of remote work.
• Employees will have the opportunity to work at the forefront of AI technology in a rapidly evolving industry.
• The role provides a chance to collaborate with cross-functional teams and contribute to innovative projects.
• Employees will gain exposure to emerging frameworks and methodologies in AI and machine learning.
• Strong emphasis on professional development and continuous learning in a supportive environment.